Michael Luca
- Marketing top 0.5%
- Consumer Market Behavior and Pricing 18
- Sharing Economy and Platforms 8
- Economics and Econometrics top 0.5%
- COVID-19 Pandemic Impacts 7
- Sociology and Political Science top 0.5%
- Digital Marketing and Social Media 8
- Names, Identity, and Discrimination Research 8
- Media Influence and Politics 7
- Modeling and Simulation top 2%
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- Experimental Behavioral Economics Studies 7
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- Digital Platforms and Economics 7
- Co-authors
- Benjamin EdelmanEdward L. GlaeserDan SvirskyZoë CullenChristopher StantonAlexander BartikMarianne BertrandGeorgios Zervas
- Journals
- Management Science (4 papers)American Economic Review (3 papers)Proceedings of the National Academy of Sciences (3 papers)
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Michael Luca
70 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Marketing 1.2k
- Economics and Econometrics 1.3k
- Business and International Management 81
- Sociology and Political Science 1.6k
- Modeling and Simulation 172
Countries citing papers authored by Michael Luca
This map shows the geographic impact of Michael Luca's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michael Luca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Luca more than expected).
Fields of papers citing papers by Michael Luca
This network shows the impact of papers produced by Michael Luca. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michael Luca. The network helps show where Michael Luca may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael Luca, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 29 | |
| 4 | 2023 | 7 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 24 | |
| 7 | 2023 | 0 | |
| 8 | 2021 | 23 | |
| 9 | 2021 | 3 | |
| 10 | 2021 | 4 | |
| 11 | 2020 | 6 | |
| 12 | 2020 | 7 | |
| 13 | 2020 | 18 | |
| 14 | Designing Better Online Review Systems | 2019 | 11 |
| 15 | Algorithms Need Managers, Too | 2016 | 36 |
| 16 | Fixing Discrimination in Online Marketplaces | 2016 | 27 |
| 17 | 2016 | 5 | |
| 18 | 2016 | 15 | |
| 19 | 2015 | 42 | |
| 20 | 2013 | 45 |
About Michael Luca
Michael Luca is a scholar working on Marketing, General Decision Sciences and Safety Research, having authored 75 papers that have together received 4.1k indexed citations. Recurring topics across this work include Consumer Market Behavior and Pricing (18 papers), Digital Marketing and Social Media (8 papers), Names, Identity, and Discrimination Research (8 papers), Sharing Economy and Platforms (8 papers), Media Influence and Politics (7 papers), COVID-19 Pandemic Impacts (7 papers), Experimental Behavioral Economics Studies (7 papers) and Digital Platforms and Economics (7 papers). The work is most often cited by research in Marketing (1.2k citations), Economics and Econometrics (1.3k citations) and Business and International Management (81 citations). Michael Luca has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Benjamin Edelman, Edward L. Glaeser, Dan Svirsky, Zoë Cullen, Christopher Stanton, Alexander Bartik, Marianne Bertrand, Georgios Zervas, Jonathan Smith and Ginger Zhe Jin. Their work appears in journals such as Management Science, American Economic Review, Proceedings of the National Academy of Sciences, Marketing Science and Journal of Economic Behavior & Organization.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.